Use of single- and multi-source image fusion for statistical decision-making

A. Stein

Research output: Contribution to journalArticleAcademicpeer-review

10 Citations (Scopus)

Abstract

In this paper, we explore the use of single- and multi-source image fusion for statistical decision-making. On the basis of usability and loss functions, two image fusion procedures are formulated. For each of these, an optimality criterion is defined. First, attention focuses on fusion of different bands within a single image, which is segmented and classified. Second, a geostatistical procedure is identified to fuse a D-InSAR image with point measurements on leveling. A decision of the optimal fusion procedure is done using a qualitative decision criterion
Original languageEnglish
Pages (from-to)229-239
JournalInternational Journal of applied Earth Observation and Geoinformation
Volume6
Issue number3-4
DOIs
Publication statusPublished - 2005

Keywords

  • spectral resolution images
  • spot panchromatic data
  • multiresolution analysis
  • arsis concept
  • landsat tm
  • implementation
  • decomposition
  • segmentation
  • transform
  • wavelets

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